Remote Lead Sports Data Scientist & Analytics Architect

Groove; Kota Yogyakarta; Remote; IDR 2,686,246,000 - 3,760,745,000; Full time

Job summary

Groove, a distributed analytics leader, seeks a Remote Lead Sports Data Scientist to drive advanced analytics across our sports operations. You will design models, lead projects, and mentor junior data scientists, applying ML, statistics, and predictive analytics to improve performance, player development, and engagement.

This fully remote role requires 7+ years in data science with leadership experience, proficiency in Python or R, and strong data pipeline skills.

Qualifications

• 7+ years of professional experience in data science, with leadership or senior responsibilities.
• Strong background in statistical modeling and machine learning.
• Proficient in Python or R and data manipulation libraries.

Responsibilities

• Lead design, development, and evaluation of advanced statistical models and ML algorithms for sports analytics.
• Analyze large datasets to identify performance trends and actionable insights for athletes and coaches.
• Develop and maintain data pipelines and databases to support analytics.
• Mentor and guide a team of data scientists, fostering collaboration and research.
• Communicate findings clearly to stakeholders across the organization.
• Stay updated with the latest data science and sports analytics methods.

Skills

Leadership experience

Machine learning

Statistical modeling

Predictive analytics

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field

Tools

Python

R

Pandas

NumPy

Job description

Groove, a distributed analytics leader, seeks a Remote Lead Sports Data Scientist to drive advanced analytics across our sports operations. You will design models, lead projects, and mentor junior data scientists, applying ML, statistics, and predictive analytics to improve performance, player development, and engagement.

This fully remote role requires 7+ years in data science with leadership experience, proficiency in Python or R, and strong data pipeline skills.